This talk will demonstrate the information theory based keyword extraction algorithm proposed by Montemurro and Zanette by using it to analyse the text of "Alice's Adventures in Wonderland".
Python devs and data scientists are used to producing libraries to share internally with their organisation or externally to the Python open-source community. Those libraries are hardly adopted however by analysts and engineers who are not versed in Python. This talk will show how any Python library can be packaged and shared to no-code users of KNIME Analytics Platform, a free and open source desktop tool! KNIME users can then drag and drop the library functions via colourful blocks, called nodes, and build data pipelines, called workflows, without any coding knowledge. A simple use case on computing geographical distances will be used to show how this is possible!